Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add majiayu000/claude-skill-registry --skill agent-browsergit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-browser)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-browser"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-browser/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-browser"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 4 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00112 | $0.04055 |
| Opus 5 | $0.00056 | $0.02027 |
| Sonnet 5 | $0.00022 | $0.00811 |
| Haiku 4.5 | $0.00011 | $0.00405 |
Grade A, and why
agent-browser scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
save cookies to a file and use `cookies set --curl <file>`. Stay on the How it starts
The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-browser core
Fast browser automation CLI for AI agents. Chrome/Chromium via CDP, no
Playwright or Puppeteer dependency. Accessibility-tree snapshots with compact
@eN refs let agents interact with pages in ~200-400 tokens instead of
parsing raw HTML.
Most normal web tasks (navigate, read, click, fill, extract, screenshot) are covered here. Load a specialized skill when the task falls outside browser web pages — see When to load another skill.
The core loop
agent-browser open <url> # 1. Open a page
agent-browser snapshot -i # 2. See what's on it (interactive elements only)
agent-browser click @e3 # 3. Act on refs from the snapshot
agent-browser snapshot -i # 4. Re-snapshot after any page change
Refs (@e1, @e2, ...) are assigned fresh on every snapshot. They become
stale the moment the page changes — after clicks that navigate, form
submits, dynamic re-renders, dialog opens. Always re-snapshot before your
next ref interaction.
Quickstart
# Install once
npm i -g agent-browser && agent-browser install
# Take a screenshot of a page
agent-browser open https://example.com
agent-browser screenshot home.png
agent-browser close
# Search, click a result, and capture it
agent-browser open https://duckduckgo.com
agent-browser snapshot -i # find the search box ref
agent-browser fill @e1 "agent-browser cli"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot -i # refs now reflect results
agent-browser click @e5 # click a result
agent-browser screenshot result.png
The browser stays running across commands so these feel like a single
session. Use agent-browser close (or close --all) when you're done.
Reading a page
agent-browser snapshot # full tree (verbose)
agent-browser snapshot -i # interactive elements only (preferred)
agent-browser snapshot -i -u # include href urls on links
agent-browser snapshot -i -c # compact (no empty structural nodes)
agent-browser snapshot -i -d 3 # cap depth at 3 levels
agent-browser snapshot -s "#main" # scope to a CSS selector
agent-browser snapshot -i --json # machine-readable output
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 478 lines · 112 tokens per session scan A c696b354745d
agent-browser is a skill published in the GitHub repository majiayu000/claude-skill-registry (600 stars, last pushed yesterday), licensed MIT. It adds 112 tokens to every session and 4,055 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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